Data Annotator – Text Classification
I performed data annotation through text classification and sentiment labeling on user-generated content. This involved assigning appropriate sentiment labels based on the content and providing supporting reasoning. Consistent, guideline-aligned annotation work contributed to dataset quality for training AI models. • Accurately assigned mixed or specific sentiment labels to text samples. • Leveraged detailed reasoning for label justification and data consistency. • Supported AI model development with high-quality annotated data. • Used remote annotation platforms such as Multimango and Outlier.